Triple
T16407925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Nauheim |
E398483
|
entity |
| Predicate | hasMayor |
P185
|
FINISHED |
| Object |
Klaus Kreß
Klaus Kreß is a German local politician who serves as the mayor of the spa town Bad Nauheim in Hesse.
|
E1458837
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Klaus Kreß | Statement: [Bad Nauheim, hasMayor, Klaus Kreß]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Klaus Kreß Context triple: [Bad Nauheim, hasMayor, Klaus Kreß]
-
A.
Klaus Kreß
Klaus Kreß is a German local politician who serves as the mayor of the town of Friedberg in the state of Hesse.
-
B.
Klaus Heissler
Klaus Heissler is a talking goldfish with the brain of an East German Olympic ski jumper, serving as a comedic and often sarcastic member of the Smith family in the animated series "American Dad!".
-
C.
Klaus Kreutz
Klaus Kreutz was a member of the Kreisau Circle, a German resistance group that opposed the Nazi regime during World War II.
-
D.
Klaus Wolter
Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
-
E.
Klaus Fischer
Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Klaus Kreß Triple: [Bad Nauheim, hasMayor, Klaus Kreß]
Generated description
Klaus Kreß is a German local politician who serves as the mayor of the spa town Bad Nauheim in Hesse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Klaus Kreß Target entity description: Klaus Kreß is a German local politician who serves as the mayor of the spa town Bad Nauheim in Hesse.
-
A.
Klaus Kreß
chosen
Klaus Kreß is a German local politician who serves as the mayor of the town of Friedberg in the state of Hesse.
-
B.
Klaus Heissler
Klaus Heissler is a talking goldfish with the brain of an East German Olympic ski jumper, serving as a comedic and often sarcastic member of the Smith family in the animated series "American Dad!".
-
C.
Klaus Kreutz
Klaus Kreutz was a member of the Kreisau Circle, a German resistance group that opposed the Nazi regime during World War II.
-
D.
Klaus Wolter
Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
-
E.
Klaus Fischer
Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3067ee84819095187ea47376c1b2 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c317030c481908991f978ca15085e |
completed | May 19, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c322595308190b33c9e09fb26c2cc |
completed | May 19, 2026, 9:49 a.m. |
Created at: April 10, 2026, 5:09 a.m.